Electromagnetic Calorimeter Shower Images
Introduced by Paganini et al. in CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks
Each HDF5 file has the following structure:
energy Dataset {100000, 1}
layer_0 Dataset {100000, 3, 96}
layer_1 Dataset {100000, 12, 12}
layer_2 Dataset {100000, 12, 6}
overflow Dataset {100000, 3}
In practice, each file is a collection of 100,000 calorimeter showers corresponding to the particle specified in the file name (eplus = positrons, gamma = photons, piplus = charged pions).
The calorimeter we built is segmented longitudinally into three layer with different depths and granularities. In units of mm, the three layers have the following (eta, phi, z) dimensions: Layer 0: (5, 160, 90) | Layer 1: (40, 40, 347) | Layer 2: (80, 40, 43)
In the HDF5 files, the energy entry specifies the true energy of the incoming particle in units of GeV. layer_0, layer_1, and layer_2 represents the energy deposited in each layer of the calorimeter in an image data format. Given the segmentation of each calorimeter layer, these images have dimensions 3x96 (in layer 0), 12x12 (in layer 1), and 12x6 (in layer 3). The overflow contains the amount of energy that was deposited outside of the calorimeter section we are considering.
Papers
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